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Archiv der Kategorie: SIGMA
The program of the following 40th SIGMA meeting on 16.10.2017, 14:00-16:00, which takes place at Department of Statistics, TU Dortmund, Vogelpothsweg 78, room CDI 120: 14:00-14:05 Welcome greetings 14:05-14:45 Journal paper René Grzeszick: Bag-of-Features Methods for Acoustic Event Detection and … Weiterlesen
The program of the following 39th SIGMA meeting on 25.07.2017, 14:00-16:00, which takes place at Faculty of Computer Science, TU Dortmund, Otto-Hahn-Str. 14, room E04 (talks in German): 14:00-14:05 Welcome greetings 14:05-14:35 Bachelor thesis Andreas Jöbges: Optical recognition of bagpipe … Weiterlesen
On the music data analysis textbook web page, the exercises manual is now available for download. Update 23.12.2016: The newer version of exercises and the list of errata were uploaded to the book web page.
The program of the following 37th SIGMA meeting on 19.12.2016, 14:00-16:20, which takes place at Faculty of Statistics, TU Dortmund, Mathematics Building, room M/E27 (talks on bachelor theses in German): 14:00-14:05 Welcome greetings 14:05-14:30 Bachelor thesis Alex Runge: Analysis of … Weiterlesen
The textbook on music data analysis is now published. Weihs, C., Jannach, D., Vatolkin, I., Rudolph, G. (Eds.): Music data analysis: foundations and applications For the list of chapters, see http://sig-ma.de/music-data-analysis-book
A PhD position is available at the Institute of Communication Acoustics, Ruhr-Universität Bochum, Germany. The PhD project aims at the development and the experimental evaluation of algorithms for music signal processing in hearing devices. The applicant must have completed a … Weiterlesen
The PhD is available online: Bernd Bischl – Model and Algorithm Selection in Statistical Learning and Optimization.
Several papers with SIGMA contributors have been accepted for GfKl 2012 post-proceedings: N. Bauer, K. Friedrichs, J. Schiffner and C. Weihs – Tone Onset Detection Using an Auditory Model M. Eichhoff and C. Weihs – Detection of Musical Instruments in … Weiterlesen